十一、大型资料集之丛集化大型数据分析是数据/知识探勘领域的一个重镇,因此丛集方法的使用也被要求要能应用在这些大型数据的处理上。许多传统丛集法(例如:K-means)在处理大型数据上颇受青睐,但是在应付高维度数据关系的分析时却捉筋见肘。为了因应数据的日趋多样 Cluster Clustering of Large Data Sets Large data analytics is a key area of ​​data / knowledge exploration, so the use of clustering methods is also required to be applied to the processing of these large data sets. Many traditional clustering methods (such as K-means) are popular for processing large data, but they are still very much in the way of analyzing high-dimensional data relationships. In response to the growing diversity of data